Stance Detection
dsta-mm-stance-detectionMawqif_Stance-Detection
Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection
Mawqif is the first Arabic dataset that can be used for target-specific stance detection.
This is a multi-label dataset where each data point is annotated for stance, sentiment, and sarcasm.
We benchmark Mawqif dataset on the stance detection task and evaluate the performance of four BERT-based models. Our best model achieves a macro-F1 of 78.89%.
Mawqif Statistics
This dataset consists… See the full description on the dataset page: https://huggingface.co/datasets/NoraAlt/Mawqif_Stance-Detection.task209_stancedetection_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task209_stancedetection_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task209_stancedetection_classification.climate-stance-detectionALIA-es-discriminative-stance-detection
Dataset Introduction
This corpus comprises 3,000 manually annotated instances for stance detection in Spanish, built from real citizen comments posted on the Decide Madrid participatory democracy platform. Each instance consists of a civic topic (target) — defined by its title and description — paired with a citizen comment, annotated for stance as favor, against, or neutral by 3 independent human annotators.
The dataset is published in full accordance with the principles of… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-discriminative-stance-detection.stance-detection-it-dataset
stance-detection-it-dataset
Dataset di commenti Instagram italiani per stance detection su post di politici italiani (Governo: Meloni/Salvini; Opposizione: Conte/Schlein), sui topic "Emergenza Sicurezza" ed "Emergenza Sud Italia" (dati raccolti a febbraio 2026).
Parte del progetto: https://github.com/giuseppe-aiello/political-stance-detection-it
Modello fine-tuned associato: https://huggingface.co/giuseppe-aiello/stance-nli-finetuned-it
Struttura
raw/governo/… See the full description on the dataset page: https://huggingface.co/datasets/giuseppe-aiello/stance-detection-it-dataset.